co.brick Talents sp. z o.o.

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Senior Data Engineer

Open 25d posting dated 2 weeks ago
This position is no longer accepting applications(closed Jul 23, 2026).

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Senior Data Engineer

Location: Hybrid – Warsaw or Kraków (3 days/week from the office – mandatory)
Contract: B2B
Rate: Up to 200 PLN/h net + VAT
Project Duration: Until 30th September 2026 (initial 3-month contract, with a possibility of extension)
Start Date: ASAP (no later than the beginning of August)
Working Time: Full-time (part-time can be discussed)
Onboarding: 2-week onboarding in Malmö, Sweden (fully covered by the client)

About the Role

We are looking for a Senior AI / Data Engineer / Data Scientist to join an international team building AI-powered solutions for large-scale web content processing, attribute extraction, and market expansion.

This is a hands-on role combining data engineering, machine learning, NLP, and applied AI, where you'll design scalable data pipelines, fine-tune ML models, and contribute to the development of AI research agents operating across multiple countries and languages.

We're looking for someone with at least 5 years of commercial experience, although our ideal candidate has 7+ years working with data engineering, machine learning, or AI solutions in production environments.

Your Responsibilities

  • Design, build, and optimize Spark pipelines for large-scale web content ingestion and processing.

  • Develop data processing and analysis workflows using Python (Polars and/or Pandas).

  • Fine-tune lightweight machine learning models for attribute extraction.

  • Prepare training datasets and ensure high data quality.

  • Evaluate model performance and improve ML pipelines end-to-end.

  • Apply NLP techniques to extract, classify, and reason over information from web content.

  • Expand internal AI research agents to new geographic markets and adapt them to local data conditions.

  • Develop evidence collection and reasoning logic for new place-related attributes.

  • Evaluate ML systems across different locales, languages, and data sources.

  • Improve pipeline orchestration and optimize multi-source data ingestion processes.

  • Collaborate with cross-functional international teams to deliver scalable AI solutions.

Requirements

  • 5+ years of commercial experience in Data Engineering, Machine Learning, AI, or Data Science (7+ years preferred).

  • Strong Python programming skills, including Polars and/or Pandas.

  • Commercial experience with Spark (Scala is a strong plus).

  • Hands-on experience building and optimizing large-scale data pipelines.

  • Experience with NLP and fine-tuning lightweight machine learning models.

  • Good understanding of data quality, model evaluation, and ML performance metrics.

  • Familiarity with agent frameworks, especially LangGraph.

  • Experience adapting AI/ML solutions across multiple countries, languages, or data domains.

  • Experience with pipeline orchestration and large-scale data processing.

  • Strong analytical mindset, ownership, and problem-solving skills.

  • Comfortable working in a dynamic, international environment.

Nice to Have

  • Commercial experience with Scala.

  • Experience working with AI agents or LLM-based solutions.

  • Background in large-scale web data processing.

  • Experience supporting multi-market AI products.

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